Prometheus MSSQL Exporter Docker Container

Prometheus exporter for Microsoft SQL Server (MSSQL). Exposes the following metrics

• mssql_instance_local_time Number of seconds since epoch on local instance
• mssql_connections{database,state} Number of active connections
• mssql_deadlocks Number of lock requests per second that resulted in a deadlock since last restart
• mssql_user_errors Number of user errors/sec since last restart
• mssql_kill_connection_errors Number of kill connection errors/sec since last restart
• mssql_log_growths{database} Total number of times the transaction log for the database has been expanded last restart
• mssql_page_life_expectancy Indicates the minimum number of seconds a page will stay in the buffer pool on this node without references. The traditional advice from Microsoft used to be that the PLE should remain above 300 seconds
• mssql_io_stall{database,type} Wait time (ms) of stall since last restart
• mssql_io_stall_total{database} Wait time (ms) of stall since last restart
• mssql_batch_requests Number of Transact-SQL command batches received per second. This statistic is affected by all constraints (such as I/O, number of users, cachesize, complexity of requests, and so on). High batch requests mean good throughput
• mssql_page_fault_count Number of page faults since last restart
• mssql_memory_utilization_percentage Percentage of memory utilization
• mssql_total_physical_memory_kb Total physical memory in KB
• mssql_available_physical_memory_kb Available physical memory in KB
• mssql_total_page_file_kb Total page file in KB
• mssql_available_page_file_kb Available page file in KB

Please feel free to submit other interesting metrics to include.

Usage

docker run -e SERVER=192.168.56.101 -e USERNAME=SA -e PASSWORD=qkD4x3yy -e DEBUG=app -p 4000:4000 --name prometheus-mssql-exporter awaragi/prometheus-mssql-exporter

For running the exporter with custom metrics, add a yaml file with the custom metrics (see queries.yaml for a sample and QUERIES.md for a guide), and add the path to that file:

docker run -e CUSTOM_METRICS_PATH=/path/to/queries.yaml -e SERVER=192.168.56.101 -e USERNAME=SA -e PASSWORD=qkD4x3yy -e DEBUG=app -p 4000:4000 --name prometheus-mssql-exporter awaragi/prometheus-mssql-exporter

Note: CUSTOM_METRICS_PATH supports multiple yaml files if necessary; pass them all as a comma-delimited list

The image supports the following environments and exposes port 4000

• SERVER server ip or dns name (required)
• PORT server port (optional defaults to 1443)
• USERNAME access user (required)
• PASSWORD access password (required)
• CUSTOM_METRICS_PATH path to the custom metrics yaml or yamls (optional); pass as a single path or as a comma-delimited list of paths
• DEBUG comma-delimited list of enabled logs (optional currently supports app and metrics)

It is required that the specified user has the following permissions

• GRANT VIEW ANY DEFINITION TO
• GRANT VIEW SERVER STATE TO

Development

Launch via command line

SERVER=sqlserver PORT=sqlport<1443> USERNAME=sqluser PASSWORD=sqluserpassword EXPOSE=webport<4000> node ./index.js

To enable debugging set the environment variable DEBUG to app and/or metrics (DEBUG=app)

for example: DEBUG=app,metrics SERVER=192.168.56.101 USERNAME=SA PASSWORD=qkD4x3yy node ./index.js

building and pushing image to dockerhub

npm run push

Launch a mock mssql server

docker run -e ACCEPT_EULA=Y -e SA_PASSWORD=qkD4x3yy -p 1433:1433 --name mssql -d microsoft/mssql-server-linux

To use a persistent storage include -v /mypath:/var/opt/mssql/data